5–9 Sept 2011
Europe/London timezone

Full Reconstruction based on NeuroBayes at the Belle Experiment

6 Sept 2011, 14:50
25m
Parallel talk Track 2 : Data Analysis - Algorithms and Tools Tuesday 06th - Data Analysis – Algorithms and Tools

Speaker

Daniel Zander (Karlsruhe Institute of Technology)

Description

Full Reconstruction is an important analysis technique utilized at B factories where B mesons are produced in e+e- -> Y(4S) -> BBbar processes. By reconstructing one of the two B mesons in an event fully in a hadronic final state, the properties of the other B meson are determined using momentum conservation. Therefore, it allows to measure or perform searches for rare B meson decays involving one or more neutrinos in the final state. This ansatz is complicated in practice by huge combinatorics and large amounts of background. With over 1000 exclusively reconstructed B decay channels the Full Reconstruction utilizes a hierachical reconstruction procedure and probabilistic calculus instead of classical selection cuts. In this approach, the decision to accept or reject a candidate is delayed to a later stage in order to make the most use of all available information. The multivariate analysis software package NeuroBayes was used extensively to hold the balance between highest possible efficiency and acceptable consumption of CPU time. As a result of applying this ansatz, the number of fully reconstructed B mesons was increased by a factor of 2 after 10 years of successful data taking. The new full reconstruction algorithm will thus allow for more precise measurements of rare B meson decays.

Primary authors

Dr Anze Zupanc (Karlsruhe Institute of Technology) Daniel Zander (Karlsruhe Institute of Technology) Prof. Michael Feindt (Karlsruhe Institute of Technology) Mr Sebastian Neubauer (Karlsruhe Institute of Technology) Dr Thomas Kuhr (Karlsruhe Institute of Technology)

Presentation materials